Food Path Indicator Correlation Statistics

A 9.5 KB Excel file contains Spearman's ρ, q-values, Kendall's τ_b, and Theil-Sen slopes calculated for indicators along a defined Food Path sequence (LQ3 → PU4 → 5 → 6 → EC7 → RG7). Muxi Chen authored this dataset, which was last updated in April 2026.

Use Cases

• Analyze monotonic relationships between sequential Food Path stages using Spearman's ρ values.
• Test for statistically significant trends along the Food Path using reported q-values.
• Measure ordinal association between indicators at different stages with Kendall's τ_b coefficients.
• Estimate robust linear trend rates for indicators across the path using Theil-Sen slopes.

Strengths

• Contains four distinct statistical measures (ρ, q, τ_b, slopes) for analysis.
• Published under a permissive CC-BY-4.0 license.
• File size is 9.5 KB, indicating a concise, focused dataset.

Limitations

• Dataset size is very small (9.5 KB), suggesting limited scope or a small number of calculated values.
• No column names, sample data, or row count are provided, obscuring data structure.
• The specific indicators and their data sources along the Food Path are undefined.

Provenance

Source

figshare, authored by Muxi Chen.

Collection Method

Statistical calculations (correlation coefficients, significance tests, slope estimates) applied to indicator data.

Freshness

Last updated in April 2026.